Nexdata | Multi-race Human Body Data | 300,000 ID | Computer Vision Data| Image/Video Machine Learning (ML) Data

1. Specifications Data size : 200,000 ID Race distribution : Asians, Caucasians, black people Gender distribution : gender balance Age distribution : ranging from teenager to the elderly, the middle-aged and young people are the majorities Collecting environment : including indoor and outdoor scenes Data diversity : different shooting heights, different ages, different light conditions, different collecting environment, clothes in different seasons, multiple human poses Device : cameras Data format : the data format is .jpg/mp4, the annotation file format is .json, the camera parameter file format is .json, the point cloud file format is .pcd Accuracy : based on the accuracy of the poses, the accuracy exceeds 97%;the accuracy of labels of gender, race, age, collecting environment and clothes are more than 97% 2. About Nexdata Nexdata owns off-the-shelf 200,000 hours of speech recognition data, 800TB of Annotated Imagery Data, about 2 billion pieces of Natural Language Processing (NLP) Data. These ready-to-go machine learning (ML) data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/computerVisionTraining?source=Datarade

搜集汇总

背景与挑战

背景概述

该数据集包含20万个ID的多种族人体数据，涵盖亚洲人、白人和黑人，性别均衡，年龄从青少年到老年人，以中青年为主。数据采集于室内外多种环境，包含不同拍摄高度、光线、季节服装和人体姿态，格式为.jpg/mp4图像视频及.json/.pcd标注文件，姿态、性别等标签精度超过97%。